Added RandomNetwork

reading_machine/src/Classifier.cpp

@@ -5,6 +5,7 @@
 #include "RLTNetwork.hpp"
 #include "CNNNetwork.hpp"
 #include "LSTMNetwork.hpp"
+#include "RandomNetwork.hpp"
 
 Classifier::Classifier(const std::string & name, const std::string & topology, const std::string & tsFile)
 {
@@ -32,6 +33,14 @@ void Classifier::initNeuralNetwork(const std::string & topology)
 {
   static std::vector<std::tuple<std::regex, std::string, std::function<void(const std::smatch &)>>> initializers
   {
+    {
+      std::regex("Random"),
+      "Random : Output is chosen at random.",
+      [this,topology](auto sm)
+      {
+        this->nn.reset(new RandomNetworkImpl(this->transitionSet->size()));
+      }
+    },
     {
       std::regex("OneWord\\(([+\\-]?\\d+)\\)"),
       "OneWord(focusedIndex) : Only use the word embedding of the focused word.",

torch_modules/include/RandomNetwork.hpp

+#ifndef RANDOMNETWORK__H
+#define RANDOMNETWORK__H
+
+#include "NeuralNetwork.hpp"
+
+class RandomNetworkImpl : public NeuralNetworkImpl
+{
+  private :
+
+  long outputSize;
+
+  public :
+
+  RandomNetworkImpl(long outputSize);
+  torch::Tensor forward(torch::Tensor input) override;
+};
+
+#endif

torch_modules/src/RandomNetwork.cpp

+#include "RandomNetwork.hpp"
+
+RandomNetworkImpl::RandomNetworkImpl(long outputSize) : outputSize(outputSize)
+{
+  setBufferContext({0});
+  setStackContext({});
+  setBufferFocused({});
+  setStackFocused({});
+  setColumns({"FORM"});
+}
+
+torch::Tensor RandomNetworkImpl::forward(torch::Tensor input)
+{
+  if (input.dim() == 1)
+    input = input.unsqueeze(0);
+
+  return torch::randn({input.size(0), outputSize}, torch::TensorOptions().device(device).requires_grad(true));
+}
+